Senior Data Engineer II

The Role 
We’re looking for an experienced Senior Data Engineer II to join our team as we continue to develop the first-of-its-kind quality and regulatory intelligence (QRI) platform for the life science industry.The ideal candidate will have experience maintaining a high bar of quality while remaining hands-on in the code.

​​​​​​Core Responsibilities 

• Full understanding of the technical architecture and the different subsystems 
• Able to work as a lead in an Agile Scrum environment, with a keen focus on delivering sustainable, high-performance, scalable, and easily maintainable enterprise solutions
• Helps prioritize technical issues with engineering managers
• Proactively guides technical decisions in a domain of expertise
• Recommend and validate different ways to improve data reliability, efficiency, and quality 
• Identify optimal approaches for resolving data quality or consistency issues
• Ensure successful system delivery to the production environment and assist the operations and support team in resolving production issues, as necessary
• Lead the acquisition of data from a variety of sources, intelligent change monitoring, data mapping, transformations, and analysis
• Develop, test, and maintain architectures for data stores, databases, processing systems, and microservices
• Integrate various sub-systems or components to deliver end-to-end solutions
• Integrate data pipeline with NLP/ML services

About you
Tech Savvy: Demonstrates expertise in a wide range of technologies, stays ahead of industry trends
Manages Complexity: Highly experienced at managing complex technical projects and systems
Plans and Aligns: Proficient in creating comprehensive project plans and ensuring alignment with strategic objectives
Collaborates: Proactively engages in team projects, contributes ideas and solutions
Manages Ambiguity: Operates effectively in ambiguous situations, adapting to changing demands
Engaged: Not only shares our values but also possesses the essential competencies needed to thrive at Redica, as outlined here: https://redica.com/about-us/careers/.

• 5+ years of senior or lead developer experience with an emphasis on technical mentorship, code/system architecture, and quality output
• Extensive experience designing and building data pipelines, data APIs, and ETL/ELT processes
• Deep, hands-on experience in Python
• Hands-on experience setting up, configuring, and maintaining SQL and no-SQL databases/warehouses (Snowflake, MySQL/MariaDB, PostgreSQL, MongoDB)
• Computer Science, Computer Engineering, or similar technical degree

Bonus Points

• Experience with Snowflake, DBT, and Airflow is a major plus
• Experience with the data engineering stack within AWS is a major plus (S3, Lake Formation, Lambda, Fargate, Kinesis Data Streams/Data Firehose, DynamoDB, Neptune DB)
• Experience with both batch and event-driven data architectures
   

It’s a dynamic role combining advanced data engineering skills with process optimization and data management in a cutting-edge, tech-driven environment. We offer competitive salaries, comprehensive benefits packages, and a dynamic work environment where you can foster growth and develop your skills.

Top Pharma Companies, Food Manufacturers, MedTech Companies, and Service firms from around the globe rely on Redica Systems to mine and process government inspection, enforcement, and registration data to quantify risk signals about their suppliers, identify market opportunities, benchmark against their peers, and prepare for the latest inspection trends. Major media outlets such as MSNBC, WSJ, and the Boston Globe have cited our data and analytics.
 
We are committed to creating a diverse and inclusive workplace where everyone feels welcomed and valued. We believe diversity of perspectives, backgrounds, and experiences is essential to our success. We are always looking for talented individuals who can bring unique skills and perspectives to our team.

All your information will be kept confidential according to EEO guidelines.